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New set of presentations

So it is finally time to retire my previous set of presentations and put some new ones together. There are some major categories I need to cover:

  • IoT with Mobile
  • Azure IoT Gateway modules
  • Stream Analytics edge
  • Azure ML edge
  • Alternative application interfaces
  • FuseThru advantage
  • Azure IoT architecture

This post is a way for me to put out some ideas on what to speak on and edit them as time passes and I get feedback. So here are my initial attempts:

IoT and Mobile

So in this talk I want to show some command control scenarios and some data ingestion. To do this I will show a scenario where a mobile device running a Xamarin application will control an LED or a servo or a relay or some other visible actionable device. Then on the data ingestion side, a set of devices consuming physical data and broadcasting them over the air via Bluetooth. The mobile app will consume that data and showcase it in the application.

Azure IoT Edge

This talk can reuse the Bluetooth devices from the IoT and mobile talks. Using those, a gateway can have a module configured  to consume the device data. With that I can show how to make a module and deploy that module to the gateway. Then I will add a stream analytics module from the edge to consume the data internally to the application.

Stream Analytics Edge

This is a talk very similar to the Azure IoT Edge talk except instead of focusing on creating the module in code, I focus on the architecture of the gateway and show how to create an edge module in stream analytics. The data consumed will most likely be the same Bluetooth devices as above.

Azure ML Edge

This talk will take a little different set of hardware. Video is such a game changer when it comes to machine learning. It really shows how powerful machine learning is. To accomplish that demonstration will require a video input. I would love to be able to use the HoloLens but I think I will settle for an easy to use camera. Once the camera is streaming data to a gateway, I will try to push a ML algorithm for computer vision down to the gateway to consume the data and output any detection events.

Alternative application interfaces

I would like to continue to be able to show the different ways an application can consume data and interact with the user and the environment without a screen. To do this, the following interfaces should be shown:

  • Audio input
  • Audio output
  • Video input
  • Control output
  • Control input

This is one I really need to think on. I would like to get a combination of each input to each output.

FuseThru advantage

One presentation should be on how Fusethru’s Fuseworks technology can greatly reduce the computing cost of distributed IoT data. In the demo, I will showcase a large amount of data moving through the Fuseworks application on a Multitech box using different incoming sensors to showcase how easy to use and how the application uses its existing power to accomplish big data queries.

Azure IoT architecture

The simplest demo. Go thorough the different styles of Azure IoT architecture and showcase a use case for each.

 

Call for speakers – Atlanta Code Camp 2015

The call for speakers is up for Atlanta Code Camp 2015. Registration will be open soon and speaker submission deadline is September 10th. I’ve put in for two presentations this year:

The first presentation I will be doing alongside Ian Philpot. Ian is a Senior Microsoft Technical Evangelist based out of Atlanta. For our presentation, we will be showing a myriad or products from Microsoft, all syncing up through Microsoft Azure using SignalR. The products are:

During this presentation, we will use the Microsoft Band and the Kinect to detect waving motion from one of the presenters. That waving motion will be sent up through Azure via SignalR and pushed to Windows 10 IoT core clients. The core clients will then drive a servo with a hand attached to mimic the waving motion.

The other presentation I submitted is with Marshall Stewart. Marshall and I will be using Bluetooth LE to create a series of IBeacons to create an indoor GPS of a user walking around the room. Depending on the path the user takes, a Windows 10 IoT Core device will show a different item to the user when they get close to it. This is to simulate a normal super market scenario where the user explores the store taking different isles. Using the data of which isles the user used allows for a custom “Candy Rack” for the user.

I hope to see everyone at Code Camp again this year and look forward to some awesome presentations.

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